HDI-Project / ATMLinks
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
☆527Updated 5 years ago
Alternatives and similar repositories for ATM
Users that are interested in ATM are comparing it to the libraries listed below
Sorting:
- MLBox is a powerful Automated Machine Learning python library.☆1,527Updated 2 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 5 years ago
- Visual Exploration of Automated Machine Learning with ATMSeer☆168Updated 3 years ago
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,657Updated 4 years ago
- Auto-WEKA☆335Updated 3 years ago
- Tuning hyperparams fast with Hyperband☆597Updated 7 years ago
- Deploy AutoML as a service using Flask☆227Updated 8 years ago
- ☆762Updated 2 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆504Updated 2 years ago
- Studio: Simplify and expedite model building process☆380Updated last year
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,266Updated 7 years ago
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…☆171Updated 6 years ago
- Feature exploration for supervised learning☆760Updated 5 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆383Updated 4 years ago
- H2Oai GPU Edition☆467Updated last year
- ML-Ensemble – high performance ensemble learning☆863Updated 2 years ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆283Updated 2 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Lattice methods in TensorFlow☆520Updated last year
- Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.☆623Updated 7 years ago
- Open source production model management tool for data scientists☆343Updated 7 months ago
- optimization routines for hyperparameter tuning☆425Updated 2 years ago
- scikit-learn compatible projects☆406Updated 10 months ago
- H2O.ai Machine Learning Interpretability Resources☆490Updated 5 years ago
- WTTE-RNN a framework for churn and time to event prediction☆781Updated 5 years ago
- Easy to use library to bring Tensorflow on Apache Spark☆296Updated 2 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆771Updated last year
- PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.☆854Updated 11 months ago
- Hyper-parameter optimization for sklearn☆1,646Updated 9 months ago